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  1. Data Mining: Foundations and Intelligent Paradigms: Volume 2: Statistical, Bayesian, Time Series and other Theoretical Aspects
  2. Data Mining: Foundations and Intelligent Paradigms: Volume 3: Statistical, Bayesian, Time Series and other Theoretical Aspects
  3. Data Mining: Foundations and Intelligent Paradigms: Volume 1: Clustering, Association and Classification
  4. [share_ebook] Data Mining Techniques For Marketing, Sales, and Customer..
  5. [share_ebook] Data Mining: Concepts and Techniques, 3rd Edition
  6. Data Mining: Concepts and Techniques, 3rd Edition (repost)
  7. [share_ebook] Data Mining: Know It All [ReUpload]
  8. [share_ebook] Data Mining: Practical Machine Learning Tools and Techniques [ReUpload]
  9. [share_ebook] Data Mining: Concepts and Techniques, Third Edition (The Morgan Kaufmann Series in Data Management Systems) - Jian Pei
  10. [share_ebook] Classification and Modeling with Linguistic Information Granules: Advanced Approaches to Linguistic Data Mining (Advanced Information Processing) - Hisao Ishibuchi
  11. [share_ebook] Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management
  12. [share_ebook] Data Mining: Practical Machine Learning Tools and Techniques, Third Edition
  13. [share_ebook] Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration
  14. [share_ebook] Data Mining: Concepts, Models, Methods, and Algorithms; 2ed - Mehmed Kantardzic
  15. [share_ebook] Data Mining and Predictive Analysis - Colleen McCue Ph.D. Experimental Psychology
  16. [share_ebook] Decision Trees for Business Intelligence and Data Mining - Barry DeVille
  17. [share_ebook] Classification, Clustering, and Data Mining Applications - David Banks
  18. [share_ebook] Data Mining with Microsoft SQL Server 2000 Technical Reference - Claude Seidman
  19. [share_ebook] Data Mining: Practical Machine Learning Tools and Techniques {reup}
  20. [share_ebook] Data Preparation for Data Mining Using SAS {reup}

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